lotR_blca: Simulate data and subject-specific indicators from latent...
In zhenkewu/lotR: Latent class analysis with Observed Trees in R (lotR)
lotR_blca R Documentation
Simulate data and subject-specific indicators from latent class models
Description
Simulate data and subject-specific indicators from latent class models
Usage
lotR_blca(n, itemprob = 0.5, classprob = 1, fit = NULL)
Arguments
n
sample size
itemprob
item probabilities
classprob
class probabilities
fit
fitted object
Value
a list; x: data; z a vector of integer indicators
of class membership.
See Also
BayesLCA::blca()
Examples
lotR_blca(10,matrix(0.5,nrow=3,ncol=20),c(0.98,0.01,0.01))
zhenkewu/lotR documentation built on April 24, 2022, 2:36 a.m.
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| lotR_blca | R Documentation |
Simulate data and subject-specific indicators from latent class models
Description
Simulate data and subject-specific indicators from latent class models
Usage
lotR_blca(n, itemprob = 0.5, classprob = 1, fit = NULL)
Arguments
n |
sample size |
itemprob |
item probabilities |
classprob |
class probabilities |
fit |
fitted object |
Value
a list; x: data; z a vector of integer indicators
of class membership.
See Also
BayesLCA::blca()
Examples
lotR_blca(10,matrix(0.5,nrow=3,ncol=20),c(0.98,0.01,0.01))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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